The op serializes protobuf messages provided in the input tensors.
tf.io.encode_proto( sizes, values, field_names, message_type, descriptor_source='local://', name=None )
The types of the tensors in values
must match the schema for the fields specified in field_names
. All the tensors in values
must have a common shape prefix, batch_shape.
The sizes
tensor specifies repeat counts for each field. The repeat count (last dimension) of a each tensor in values
must be greater than or equal to corresponding repeat count in sizes
.
A message_type
name must be provided to give context for the field names. The actual message descriptor can be looked up either in the linked-in descriptor pool or a filename provided by the caller using the descriptor_source
attribute.
For the most part, the mapping between Proto field types and TensorFlow dtypes is straightforward. However, there are a few special cases:
A proto field that contains a submessage or group can only be converted to DT_STRING
(the serialized submessage). This is to reduce the complexity of the API. The resulting string can be used as input to another instance of the decode_proto op.
TensorFlow lacks support for unsigned integers. The ops represent uint64 types as a DT_INT64
with the same twos-complement bit pattern (the obvious way). Unsigned int32 values can be represented exactly by specifying type DT_INT64
, or using twos-complement if the caller specifies DT_INT32
in the output_types
attribute.
The descriptor_source
attribute selects the source of protocol descriptors to consult when looking up message_type
. This may be:
An empty string or "local://", in which case protocol descriptors are created for C++ (not Python) proto definitions linked to the binary.
A file, in which case protocol descriptors are created from the file, which is expected to contain a FileDescriptorSet
serialized as a string. NOTE: You can build a descriptor_source
file using the --descriptor_set_out
and --include_imports
options to the protocol compiler protoc
.
A "bytes://<bytes>
, which is expected to be a FileDescriptorSet
serialized as a string.
Args | |
---|---|
sizes | A Tensor of type int32 . Tensor of int32 with shape [batch_shape, len(field_names)] . |
values | A list of Tensor objects. List of tensors containing values for the corresponding field. |
field_names | A list of strings . List of strings containing proto field names. |
message_type | A string . Name of the proto message type to decode. |
descriptor_source | An optional string . Defaults to "local://" . |
name | A name for the operation (optional). |
Returns | |
---|---|
A Tensor of type string . |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/io/encode_proto